DocumentCode
2725786
Title
A New Invariant Descriptor For Shape Representation And Recognition
Author
Wang, Xiying ; Dai, Guozhong
Author_Institution
Inst. of Software, Chinese Acad. of Sci., Beijing
fYear
2007
fDate
1-5 April 2007
Firstpage
48
Lastpage
51
Abstract
Traditional Fourier descriptor suffers the drawback of being sensitive to translation, rotation and scale transform. This paper presents a new method of shape representation, polygon Fourier descriptor (PFD), which can achieve the invariance on translation, rotation and scale transform naturally and without need of a process of normalization. By applying polygonal approximation to the contour firstly, the contour can be represented more efficiently. Moreover, PFD is robust enough to represent the contour even if some transformations happened to it. Finally, we apply PFD to the recognition of static gestures and obtain satisfying results
Keywords
Fourier transforms; feature extraction; gesture recognition; image representation; object recognition; contour representation; invariant descriptor; polygon Fourier descriptor; polygonal approximation; shape recognition; shape representation; static gesture recognition; Computational intelligence; Computer errors; Fourier transforms; Image processing; Image recognition; Object recognition; Phase frequency detector; Robustness; Shape; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence in Image and Signal Processing, 2007. CIISP 2007. IEEE Symposium on
Conference_Location
Honolulu, HI
Print_ISBN
1-4244-0707-9
Type
conf
DOI
10.1109/CIISP.2007.369292
Filename
4221393
Link To Document